# Staff Software Engineer, Forward Deployed

**Company:** [Fal](https://hotfix.jobs/companies/fal)
**Location:** San Francisco, CA
**Role:** Solutions Architecture
**Salary:** $150k – $230k/yr
**Experience:** 7+ years
**Skills:** TypeScript, Python, Postgres, Next.js, Kubernetes, APIs, Infrastructure, Cloud Environments, Observability, Serverless, AI/ML
**Posted:** 2026-02-10

> Forward Deployed Engineer bridging Sales, Product, and Infrastructure to help enterprise customers deploy, scale, and operationalize AI workloads on fal Serverless. Requires strong engineering skills (TypeScript/Python/Next.js), customer-facing technical experience, and high ownership to debug issues, translate feedback into product priorities, and drive production success.

## Job Description

## Responsibilities
- Join enterprise onboarding calls and act as the technical owner for deployments.
- Help customers integrate their models into fal Serverless (APIs, scaling, observability, deployment workflows).
- Debug customer issues end-to-end across frontend, backend, and infra layers.
- Translate customer feedback into clear product specs, tasks, and engineering priorities.
- Work closely with Product + Infra to ensure enterprise needs are shipped into the platform.
- Build custom proofs-of-concept or lightweight integrations to unblock adoption.
- Identify repeatable patterns across customers and turn them into reusable product features.
- Improve internal tooling, onboarding flows, and docs based on real customer pain points.

## Requirements
- Strong engineering background with proficiency in TypeScript, Python, Postgres, and Next.js.
- Experience working with customers in a technical capacity (Solutions Engineer, Forward Deployed Engineer, DevRel Engineer, or similar).
- Comfortable jumping into ambiguous customer problems and finding solutions fast.
- Ability to understand complex systems and communicate clearly with both technical and non-technical stakeholders.
- Strong written communication skills (turning customer conversations into actionable specs/tasks).
- Experience working across APIs, infrastructure, and cloud environments.
- High ownership mentality: take responsibility for customer success end-to-end.
- Comfort operating in a fast-moving, low-process environment.

## Nice-to-Haves
- Experience with serverless platforms, infra products, or developer platforms.
- Familiarity with observability tooling (logs, metrics, tracing).
- Background in distributed systems, Kubernetes, or cloud-native deployments.
- Experience with AI/ML workloads in production.
- Experience writing documentation, onboarding guides, or customer playbooks.

## Compensation
- $150,000 - $230,000 + equity + comprehensive benefits package.

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